Home / Resources / Schema markup guide

SEO · Schema

Schema markup: the SEO foundation most sites get wrong

By Reckona AIUpdated 27 July 20268 min read

Schema markup is one of the cheapest, highest-leverage technical SEO fixes available — and one of the most commonly implemented badly. Here's which types actually matter and the mistakes that quietly make them worthless.

What schema actually does

Schema (structured data, usually in JSON-LD format) doesn't directly boost rankings — it tells search engines and AI crawlers exactly what your content means, rather than making them guess from unstructured text. Correctly implemented, it earns rich results in Google and makes your facts easier for AI engines to lift and cite accurately.

The schema types that matter most

TypeUse it for
OrganizationEvery site — establishes your entity's core facts
LocalBusinessPhysical locations — address, hours, service area
ProductEcommerce — price, availability, reviews
FAQPageAny page answering real questions — strong AI-citation candidate
Article / BlogPostingContent pages — author, dates, headline
BreadcrumbListAny multi-level site — clarifies site structure

Common mistakes that make schema useless

The AI-era bonus: accurate, current schema is one of the clearest signals AI engines use for entity clarity — see our entity SEO guide for how this feeds GEO directly.

The full build

Schema implementation is part of our Technical SEO and GEO practices — audited, fixed, and kept in sync with your actual content.

See how visible you are to AI today

A free GEO audit baselines your brand across four AI engines vs your top competitor — 40 prompts, a real number, no pitch unless you ask.

Get my free GEO audit →